How this analysis was created: This summary and feature list were written by an AI model that read the project's README and public documentation pages. Each feature links to the documentation it came from; stars, license and language come straight from the GitHub API. The model does not read the source code, and the analysis is refreshed when the project is re-analysed. Learn more on our About page.
ntfy is a shell notification utility and multiplatform notification router designed to alert users when long-running commands finish executing. It functions as a command completion notifier that dispatches messages to desktop or mobile devices based on process duration and terminal focus.
The main features of dschep/ntfy are: Shell Command Completion Notifications, Notification Integrations, Shell Notification Utilities, Task Completion Notifications, Script-Triggered Push Notifications, Notification Plugin Frameworks, Push Notification Providers, Notification Dispatches.
Open-source alternatives to dschep/ntfy include: variadico/noti — Noti is a set of command line utilities designed to capture process output and track execution status to trigger… appleboy/gorush — Gorush is a dedicated notification dispatch server used to send real-time alerts to iOS and Android mobile devices. It… muesli/beehive — Beehive is a self-hosted integration platform and event automation engine. It functions as a plugin-based workflow… keephq/keep — Keep is an open-source AIOps alert management platform that aggregates, deduplicates, and orchestrates the lifecycle… awesome-selfhosted/awesome-selfhosted — This project is a community-curated directory of open-source software designed for deployment in private server… kubesphere/kubesphere — KubeSphere is a distributed operating system for cloud-native application management that provides a centralized…
Noti is a set of command line utilities designed to capture process output and track execution status to trigger desktop or third-party alerts. It functions as a shell notification wrapper and pipeline utility that routes shell output and execution status to desktop banners or messaging services. The project provides a process monitoring utility capable of tracking specific process identifiers to send notifications immediately upon program termination. It also includes a CLI output notifier that captures standard input and forwards the text as a notification message. The system covers comman
Gorush is a dedicated notification dispatch server used to send real-time alerts to iOS and Android mobile devices. It functions as a centralized infrastructure for hosting a notification API and managing the delivery of push messages through high-throughput queuing. The system supports both gRPC streams and HTTP endpoints to receive notification triggers and includes a command-line interface for triggering alerts without a running server process. It manages network traffic through proxy routing via HTTP or SOCKS5 and secures server communication using automated TLS certificate management. O
Beehive is a self-hosted integration platform and event automation engine. It functions as a plugin-based workflow orchestrator that links independent service plugins to automate data movement between external APIs and hardware. The system acts as an IoT hardware controller for managing network-enabled sockets, smart lighting, and serial port devices via TTY or COM. It also serves as an HTTP webhook gateway, receiving incoming requests to trigger internal workflows and external notifications. Capability areas include event-driven workflow automation with filter-based routing and template-bas
Keep is an open-source AIOps alert management platform that aggregates, deduplicates, and orchestrates the lifecycle of alerts from multiple monitoring tools. It functions as a multi-provider integration hub to centralize the flow of data between observability, ticketing, and communication tools. The platform distinguishes itself through incident workflow automation and AI-powered enrichment. It uses a declarative workflow engine to execute multi-step operational sequences and integrates large language models to summarize event data and correlate technical logs for faster incident resolution.